Posting record
Open 12+ days
- Backbase's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Backbase, so its true age is longer.
Last checked Nov 4, 2026.
How well do you match?
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Upload your resumeWhat it asks of you
- 5+ years of experience
- Bachelor's degree asked for
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Data Engineer
As a Data Engineer you will play a crucial role in designing, developing, testing and implementing data solutions for our Engaging Banking Platform. Your responsibilities will span from data integrations, processing, validations and visualisation utilizing Data Lakehouse with medallion architecture, Reporting Suite and conversational LLM models. You will guard the data consistency, quality and end to end governance from where data is born to where it is used in dashboards, AI / ML applications and other data consumers. You will also be involved in building insightful visualizations and reports used by customers of banks worldwide.
In addition you will be involved in design, develop, and deploy scalable AI-driven solutions: underlying infrastructure, agent orchestration layers, and evaluative frameworks that make AI reliable, safe, and impactful in a highly regulated financial environment.
You will work in a multinational, diversified, focused and professional environment with a friendly atmosphere.
What you'll do
- develop and maintain the workspaces, data pipelines and objects in Data Lakehouse
- develop and maintain data ingestion solutions from many different sources, such as RDBMS, Change Data Capture and streaming endpoints ensuring its accuracy and consistency
- Develop and maintain data-oriented solutions with SQL and Python code
- create and maintain data models to support reporting and analytics needs incl. AI models
- will be involved in create custom visualizations together with our user experience designers, develop interactive and visually appealing dashboards and reports
- work closely with cross-functional teams to understand business requirements and deliver data-driven solutions, develop optimisations and troubleshoot issues
- document and share knowledge on solutions, including data models, reports, and dashboards, for future reference and training purposes.
Who you are
- A Bachelor's or Master's degree in Computer Science, Data Science, or a related field;
- 5+ years of experience in data engineering, preferably in Databricks
- Strong skills in programming languages like Python and Java and database programming SQL
- Expertise in Data Lakehouse concepts and Delta Lake;
- Strong solution design and architecture skills, understanding of data domains, regulations, and compliance requirements;
- Experience with cloud computing platforms (e.g., AWS, Azure);
- Exceptional problem-solving skills and the ability to think critically under pressure;
- Excellent communication and collaboration skills to work effectively within a team and to explain concepts to your team's colleagues..
- Excellent written and verbal communication skills in English.
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